R2R

VERIFIED

SoTA production-ready AI retrieval system. Agentic Retrieval-Augmented Generation (RAG) with a RESTful API.

Downloads 0
Stars 7.8K
Version 1.0.0
Quality 92/100 · Excellent

Install with one command

$ npx skills add SciPhi-AI/R2R

Best for

RAG and knowledge

Use these skills to ingest documents, index knowledge, retrieve relevant context, and make agents better at answering with grounded sources.

Choose it when

  • You want a GitHub-backed skill with 7.8K stars.
  • You need a reusable install command for agents.
  • You want to compare it with related marketplace skills.

Check before install

  • Pushed 7mo ago
  • License: MIT
  • Review the repository README and examples.

Quality profile

Excellent candidate for agent workflows

High-confidence pick with strong adoption and healthy maintenance signals.

92
GitHub stars
7.8K
Freshness
7mo ago
Install ready
Yes
License
MIT

Workflow fit

Use this skill in these scenarios

Stack fit

Add it to a complete workflow

Overview

SoTA production-ready AI retrieval system. Agentic Retrieval-Augmented Generation (RAG) with a RESTful API.

Imported by the skill-only GitHub discovery pipeline because it matches agent skill, automation, RAG, or developer-tool signals. Protocol-server projects are excluded from automated imports.

Platform Compatibility

pythonFULL
ragFULL

Technical Details

Version
1.0.0
License
MIT
Last Updated
5/23/2026
Published
5/23/2026

Frameworks & Tools

PythonRAG